Builds scalable ML training systems and infrastructure for speech AI models (STT/TTS), prototypes novel ideas with researchers, and creates internal tools for cross-functional teams. Requires strong ML research pipeline experience, especially in speech domains, plus orchestration tools expertise.
Senior ML Engineer builds scalable ETL pipelines, develops ML infrastructure for training/evaluation/inference on cloud/edge, and integrates CV models for analyzing farm images from tractor cameras. Requires 5+ years experience with Python, PyTorch/TensorFlow, data engineering tools, and cloud platforms.
Build scalable ETL pipelines and ML infrastructure for processing massive farm image datasets from tractor-mounted cameras. Develop edge-deployed computer vision models for yield estimation, disease detection, and crop analysis using PyTorch and cloud tools, with 2+ years experience.
Lead development of Context Hub, an open-source CLI for AI agents to access up-to-date API docs. Own technical direction, build infrastructure for intelligent retrieval and community features, requiring 3+ years experience, TypeScript/Node.js proficiency, and strong LLM/AI agent knowledge.
Technical lead evaluating hardware platforms and co-designing transformer models for on-device deployment. Leads team building low-level inference stack, optimizing for latency, memory, and power constraints. Requires deep experience with accelerators, transformers, and performance-critical ML software.
Forward Deployed Engineer embeds with customer teams to build and own production-grade AI-powered coding workflows using Cursor, from discovery to iteration and integration back into the core product. Requires strong Python/TS skills, end-to-end ownership, and production reliability experience.
Build and maintain fraud detection models and financial risk products through full ML lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), PhD preferred, strong end-to-end DS/ML skills, and domain interest in fraud/identity.
Build and maintain fraud detection models and financial risk products through full data science lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), advanced ML/stats skills, and PhD preferred.
Build and maintain fraud detection ML models and financial risk products with end-to-end ownership. Requires 4+ years experience (or 6+ with Masters), advanced degree, strong ML/stats skills, production coding, and domain interest in fraud/identity.
Build and deploy ML models for fraud detection and financial risk at SentiLink. New grad role for PhD/early-career researchers handling full ML lifecycle with Python, AWS; requires strong ML/stats foundation and production coding skills.
Deployed Engineer co-architects and builds production AI agents with customers, owns technical wins in pre-sales, and advises on deployment and operations. Requires 3+ years experience, strong Python/JavaScript, and expertise in agent-based LLM applications.
Leads technical direction for bio AI research programs, architects AI/computational infrastructure, prototypes modeling systems, and builds high-caliber engineering team. Requires deep ML expertise in generative models, large-scale training, and bio applications with hands-on leadership.
Lead personalization and classification algorithm productionization, building ML model-serving infrastructure and translating experimental outputs into scalable production systems. Requires 5+ years experience, backend/infrastructure specialization, and proficiency in AWS, Java, Python, and TypeScript.
Forward Deployed Engineer deploys AI agents for financial services customers, handles onsite integrations in regulated environments, builds connectors and frameworks, and translates customer needs into product insights. Requires 2+ years software engineering with Python, APIs, data pipelines, cloud, and AI experience.
Senior forward-deployed engineer builds and deploys AI-powered workflows using LLMs and ML frameworks for client operational problems. Requires 7+ years experience in Python, data/ML systems, deployment infrastructure, and client-facing skills; hybrid in NYC area.
Curates, builds, and scales AI-powered drug discovery tools including structure prediction, protein design, and docking models. Collaborates with customers to troubleshoot and optimize biological AI workflows using Python, PyTorch, and cloud infrastructure.
Develop and scale recommendation algorithms, ranking, and search systems using AI stacks and data infrastructure for a platform with 600M users. Requires expertise in recommender systems, deep learning frameworks like JAX/PyTorch, and tools like Kafka/Spark.
Develop and integrate Grok AI models into the Ads Platform to power bidding, auction, ranking, prediction, and optimization systems at massive scale. Requires 3+ years experience with large-scale AI-powered advertising products.
Develops multimodal mid-training data pipelines for omni models handling text, image, video, and audio. Requires ML expertise, scaling laws knowledge, experiment design, and strong engineering in large-scale data frameworks like Spark and Ray.
Leads ML team building scalable systems for personalization, ranking, search, and ads. Owns end-to-end architecture from training to serving at consumer scale, requiring 8+ years ML experience and strong systems design skills.
Senior Forward-Deployed Engineer embeds with federal customers to deploy Voice AI solutions, owning full technical lifecycle from PoC to production. Requires 5+ years experience, TS/SCI clearance, full-stack skills in Python/JS/Rust, and federal deployment expertise.
Builds ML-based systems integrated into Radar's geofencing, maps, and fraud products across backend, data infra, and mobile SDKs. Drives end-to-end features leveraging ML for production-scale impact, collaborates with customers.
Senior ML Engineer owns ML-driven product features end-to-end, from ideation to deployment and impact measurement. Partners cross-functionally to build scalable ML systems, drive Generative AI innovation, and mentor juniors. Requires 5+ years ML experience and strong AI engineering skills.
Develops and deploys scalable generative AI/ML models for entertainment data products, owning end-to-end lifecycle from data sourcing to production monitoring. Requires 5+ years experience, MS/PhD, deep LLM expertise, Python/PyTorch proficiency, and AWS deployment skills.
Research Engineer advancing video/image generation models for AI characters, leading fine-tuning, novel architectures, data pipelines, and optimizations using PyTorch and multimodal techniques. Requires expertise in generation models and distributed training.
Builds and deploys machine learning models to address business challenges. Requires 3+ years experience, Python proficiency, TensorFlow/PyTorch, and production ML deployment skills.
Develops and maintains scalable AI infrastructure to support machine learning models and data pipelines. Requires expertise in cloud platforms, containerization, and ML frameworks.
Leads architecture and development of agentic AI systems for personalized brain health therapies, including conversational therapy and education platforms. Requires 8+ years software engineering with 2+ years AI/ML focus, Python/TypeScript expertise, and distributed systems experience.
Develops and optimizes AI inference engine for image/video enhancement, focusing on performance, GPU/CPU optimization, model deployment, and hardware partnerships. Requires C/C++ expertise, 1+ years experience in performance optimization and image processing.
Build evaluation pipelines, LLM judges, and observability tools to measure and improve AI assistant quality. Requires 2+ years software engineering with strong Python/Go skills and LLM eval experience.
Designs, fine-tunes, and deploys image generation models for photorealistic AI bots, optimizing for consistency, latency, and quality. Requires 5+ years software engineering, 2+ years production ML, and expertise in diffusion models like Stable Diffusion and PyTorch.
Builds and scales ML models/systems for Generative AI content generation (text, image, audio, video). Owns roadmaps, processes for training/fine-tuning at scale, and collaborates cross-functionally. Requires 10+ YOE, Master's/PhD, Python/C++ proficiency.
Senior Software Engineer leads technical strategy, builds AI-optimized systems processing billions of medical records, and mentors engineers. Requires 4+ years experience, generalist mindset, AI coding tools proficiency, and HIPAA familiarity in AWS/Kubernetes environment.
Senior Software Engineer leads technical strategy, builds AI-optimized systems analyzing medical records, mentors engineers, and ensures HIPAA compliance in a fast-paced healthcare tech environment. Requires 4+ years experience and generalist mindset.
Build and ship reliable GenAI and agentic features from prototype to production in regulated fintech environments. Requires 5+ years software engineering experience with prior production GenAI deployments, strong backend skills, and building evaluation/monitoring infrastructure.
Build and deploy AI/ML systems including LLM-powered document extraction, agentic workflows, sales forecasting, anomaly detection, and promotion optimization for CPG brands. Requires 2+ years applied AI/ML and 6+ years production software engineering experience.
Builds scalable machine learning systems for real-time fraud detection using unsupervised/supervised ML, big data tools like Spark and Kafka, and streaming technologies. Requires 1-5 years experience in Java, Python, Shell, and big data technologies.
Staff AI Engineer designs and owns end-to-end production AI systems including LLM pipelines, RAG, and agentic workflows for compliance platforms. Requires 10+ years software engineering with 3+ years in ML/AI, strong Python, and production AI experience.
Designs, deploys, and optimizes AI agents to automate construction permitting workflows. Builds backend/frontend services, APIs, data pipelines, and evaluation systems. Requires 3+ years in software/ML engineering with production AI experience.
Build and optimize large-scale ML systems for safe, steerable AI, handling infrastructure, experiments, and dev tooling. Requires strong software engineering and interest in ML research.
Builds machine learning systems using unsupervised/supervised algorithms and deep learning to detect fraud in real-time. Designs distributed streaming systems with big data technologies like Spark, Kafka, and Flink. Requires 5+ years in Java, Python, Shell.
Leads end-to-end technical delivery of complex AI systems to customers, owning planning, execution, and adoption. Requires 7+ years customer-facing technical leadership, AI shipping experience, and strong project management in high-stakes environments.
Leads engineering initiatives to build scalable ML platform infrastructure, including unified embeddings, feature pipelines, and continuous learning systems. Requires 7+ years in applied ML, Python/ML frameworks expertise, and Master's/PhD in quantitative field.
Leads design, build, and deployment of production ML systems for demand intelligence including recommendation engines, forecasting, and personalization for enterprise B2C clients. Owns full lifecycle from problem framing to business impact, with deep systems thinking and causal rigor; hires and mentors team.
Builds production-grade AI systems including agent architectures, evaluation pipelines, and workflows for enterprise demand intelligence platform. Owns end-to-end from prototype to deployment, focusing on accuracy, latency, and cost tradeoffs in ambiguous startup environment.
Build and own autonomous agentic systems for customer-facing revenue and marketing workflows, partnering with sales and marketing teams. Requires 4+ years experience in software/ML engineering, full-stack skills in Python/JavaScript, and production systems expertise.
Founding forward deployed engineer builds 0-to-1 AI product surfaces for strategic enterprise customers, partnering with C-suite and Glean teams. Requires 4+ years experience, production AI shipping, full-stack depth, and business acumen; 25-50% travel.
Founding engineer builds 0-to-1 AI product surfaces for strategic enterprise customers, conducts deep business discovery, partners with C-suite, and scales solutions with R&D. Requires 4+ years experience, production AI shipping, full-stack skills, and business acumen.
Founding forward deployed engineer builds 0-to-1 AI products for strategic enterprise customers, partnering with C-suite and R&D. Requires 4+ years experience, production AI shipping, full-stack skills, and business acumen; hybrid NYC with 25-50% travel.
Senior/Staff Software Engineer architects ML data pipelines for autonomy AI at Nuro, transforming massive datasets into training signals. Requires 7+ years experience, C++/Python proficiency, and expertise in end-to-end ML data systems.
Builds scalable ML training systems and infrastructure for speech AI models (STT/TTS), prototypes novel ideas with researchers, and creates internal tools for cross-functional teams. Requires strong ML research pipeline experience, especially in speech domains, plus orchestration tools expertise.
Senior ML Engineer builds scalable ETL pipelines, develops ML infrastructure for training/evaluation/inference on cloud/edge, and integrates CV models for analyzing farm images from tractor cameras. Requires 5+ years experience with Python, PyTorch/TensorFlow, data engineering tools, and cloud platforms.
Build scalable ETL pipelines and ML infrastructure for processing massive farm image datasets from tractor-mounted cameras. Develop edge-deployed computer vision models for yield estimation, disease detection, and crop analysis using PyTorch and cloud tools, with 2+ years experience.
Lead development of Context Hub, an open-source CLI for AI agents to access up-to-date API docs. Own technical direction, build infrastructure for intelligent retrieval and community features, requiring 3+ years experience, TypeScript/Node.js proficiency, and strong LLM/AI agent knowledge.
Technical lead evaluating hardware platforms and co-designing transformer models for on-device deployment. Leads team building low-level inference stack, optimizing for latency, memory, and power constraints. Requires deep experience with accelerators, transformers, and performance-critical ML software.
Forward Deployed Engineer embeds with customer teams to build and own production-grade AI-powered coding workflows using Cursor, from discovery to iteration and integration back into the core product. Requires strong Python/TS skills, end-to-end ownership, and production reliability experience.
Build and maintain fraud detection models and financial risk products through full ML lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), PhD preferred, strong end-to-end DS/ML skills, and domain interest in fraud/identity.
Build and maintain fraud detection models and financial risk products through full data science lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), advanced ML/stats skills, and PhD preferred.
Build and maintain fraud detection ML models and financial risk products with end-to-end ownership. Requires 4+ years experience (or 6+ with Masters), advanced degree, strong ML/stats skills, production coding, and domain interest in fraud/identity.
Build and deploy ML models for fraud detection and financial risk at SentiLink. New grad role for PhD/early-career researchers handling full ML lifecycle with Python, AWS; requires strong ML/stats foundation and production coding skills.
Deployed Engineer co-architects and builds production AI agents with customers, owns technical wins in pre-sales, and advises on deployment and operations. Requires 3+ years experience, strong Python/JavaScript, and expertise in agent-based LLM applications.
Leads technical direction for bio AI research programs, architects AI/computational infrastructure, prototypes modeling systems, and builds high-caliber engineering team. Requires deep ML expertise in generative models, large-scale training, and bio applications with hands-on leadership.
Lead personalization and classification algorithm productionization, building ML model-serving infrastructure and translating experimental outputs into scalable production systems. Requires 5+ years experience, backend/infrastructure specialization, and proficiency in AWS, Java, Python, and TypeScript.
Forward Deployed Engineer deploys AI agents for financial services customers, handles onsite integrations in regulated environments, builds connectors and frameworks, and translates customer needs into product insights. Requires 2+ years software engineering with Python, APIs, data pipelines, cloud, and AI experience.
Senior forward-deployed engineer builds and deploys AI-powered workflows using LLMs and ML frameworks for client operational problems. Requires 7+ years experience in Python, data/ML systems, deployment infrastructure, and client-facing skills; hybrid in NYC area.
Curates, builds, and scales AI-powered drug discovery tools including structure prediction, protein design, and docking models. Collaborates with customers to troubleshoot and optimize biological AI workflows using Python, PyTorch, and cloud infrastructure.
Develop and scale recommendation algorithms, ranking, and search systems using AI stacks and data infrastructure for a platform with 600M users. Requires expertise in recommender systems, deep learning frameworks like JAX/PyTorch, and tools like Kafka/Spark.
Develop and integrate Grok AI models into the Ads Platform to power bidding, auction, ranking, prediction, and optimization systems at massive scale. Requires 3+ years experience with large-scale AI-powered advertising products.
Develops multimodal mid-training data pipelines for omni models handling text, image, video, and audio. Requires ML expertise, scaling laws knowledge, experiment design, and strong engineering in large-scale data frameworks like Spark and Ray.
Leads ML team building scalable systems for personalization, ranking, search, and ads. Owns end-to-end architecture from training to serving at consumer scale, requiring 8+ years ML experience and strong systems design skills.
Senior Forward-Deployed Engineer embeds with federal customers to deploy Voice AI solutions, owning full technical lifecycle from PoC to production. Requires 5+ years experience, TS/SCI clearance, full-stack skills in Python/JS/Rust, and federal deployment expertise.
Builds ML-based systems integrated into Radar's geofencing, maps, and fraud products across backend, data infra, and mobile SDKs. Drives end-to-end features leveraging ML for production-scale impact, collaborates with customers.
Senior ML Engineer owns ML-driven product features end-to-end, from ideation to deployment and impact measurement. Partners cross-functionally to build scalable ML systems, drive Generative AI innovation, and mentor juniors. Requires 5+ years ML experience and strong AI engineering skills.
Develops and deploys scalable generative AI/ML models for entertainment data products, owning end-to-end lifecycle from data sourcing to production monitoring. Requires 5+ years experience, MS/PhD, deep LLM expertise, Python/PyTorch proficiency, and AWS deployment skills.
Research Engineer advancing video/image generation models for AI characters, leading fine-tuning, novel architectures, data pipelines, and optimizations using PyTorch and multimodal techniques. Requires expertise in generation models and distributed training.
Builds and deploys machine learning models to address business challenges. Requires 3+ years experience, Python proficiency, TensorFlow/PyTorch, and production ML deployment skills.
Develops and maintains scalable AI infrastructure to support machine learning models and data pipelines. Requires expertise in cloud platforms, containerization, and ML frameworks.
Leads architecture and development of agentic AI systems for personalized brain health therapies, including conversational therapy and education platforms. Requires 8+ years software engineering with 2+ years AI/ML focus, Python/TypeScript expertise, and distributed systems experience.
Develops and optimizes AI inference engine for image/video enhancement, focusing on performance, GPU/CPU optimization, model deployment, and hardware partnerships. Requires C/C++ expertise, 1+ years experience in performance optimization and image processing.
Build evaluation pipelines, LLM judges, and observability tools to measure and improve AI assistant quality. Requires 2+ years software engineering with strong Python/Go skills and LLM eval experience.
Designs, fine-tunes, and deploys image generation models for photorealistic AI bots, optimizing for consistency, latency, and quality. Requires 5+ years software engineering, 2+ years production ML, and expertise in diffusion models like Stable Diffusion and PyTorch.
Builds and scales ML models/systems for Generative AI content generation (text, image, audio, video). Owns roadmaps, processes for training/fine-tuning at scale, and collaborates cross-functionally. Requires 10+ YOE, Master's/PhD, Python/C++ proficiency.
Senior Software Engineer leads technical strategy, builds AI-optimized systems processing billions of medical records, and mentors engineers. Requires 4+ years experience, generalist mindset, AI coding tools proficiency, and HIPAA familiarity in AWS/Kubernetes environment.
Senior Software Engineer leads technical strategy, builds AI-optimized systems analyzing medical records, mentors engineers, and ensures HIPAA compliance in a fast-paced healthcare tech environment. Requires 4+ years experience and generalist mindset.
Build and ship reliable GenAI and agentic features from prototype to production in regulated fintech environments. Requires 5+ years software engineering experience with prior production GenAI deployments, strong backend skills, and building evaluation/monitoring infrastructure.
Build and deploy AI/ML systems including LLM-powered document extraction, agentic workflows, sales forecasting, anomaly detection, and promotion optimization for CPG brands. Requires 2+ years applied AI/ML and 6+ years production software engineering experience.
Builds scalable machine learning systems for real-time fraud detection using unsupervised/supervised ML, big data tools like Spark and Kafka, and streaming technologies. Requires 1-5 years experience in Java, Python, Shell, and big data technologies.
Staff AI Engineer designs and owns end-to-end production AI systems including LLM pipelines, RAG, and agentic workflows for compliance platforms. Requires 10+ years software engineering with 3+ years in ML/AI, strong Python, and production AI experience.
Designs, deploys, and optimizes AI agents to automate construction permitting workflows. Builds backend/frontend services, APIs, data pipelines, and evaluation systems. Requires 3+ years in software/ML engineering with production AI experience.
Build and optimize large-scale ML systems for safe, steerable AI, handling infrastructure, experiments, and dev tooling. Requires strong software engineering and interest in ML research.
Builds machine learning systems using unsupervised/supervised algorithms and deep learning to detect fraud in real-time. Designs distributed streaming systems with big data technologies like Spark, Kafka, and Flink. Requires 5+ years in Java, Python, Shell.
Leads end-to-end technical delivery of complex AI systems to customers, owning planning, execution, and adoption. Requires 7+ years customer-facing technical leadership, AI shipping experience, and strong project management in high-stakes environments.
Leads engineering initiatives to build scalable ML platform infrastructure, including unified embeddings, feature pipelines, and continuous learning systems. Requires 7+ years in applied ML, Python/ML frameworks expertise, and Master's/PhD in quantitative field.
Leads design, build, and deployment of production ML systems for demand intelligence including recommendation engines, forecasting, and personalization for enterprise B2C clients. Owns full lifecycle from problem framing to business impact, with deep systems thinking and causal rigor; hires and mentors team.
Builds production-grade AI systems including agent architectures, evaluation pipelines, and workflows for enterprise demand intelligence platform. Owns end-to-end from prototype to deployment, focusing on accuracy, latency, and cost tradeoffs in ambiguous startup environment.
Build and own autonomous agentic systems for customer-facing revenue and marketing workflows, partnering with sales and marketing teams. Requires 4+ years experience in software/ML engineering, full-stack skills in Python/JavaScript, and production systems expertise.
Founding forward deployed engineer builds 0-to-1 AI product surfaces for strategic enterprise customers, partnering with C-suite and Glean teams. Requires 4+ years experience, production AI shipping, full-stack depth, and business acumen; 25-50% travel.
Founding engineer builds 0-to-1 AI product surfaces for strategic enterprise customers, conducts deep business discovery, partners with C-suite, and scales solutions with R&D. Requires 4+ years experience, production AI shipping, full-stack skills, and business acumen.
Founding forward deployed engineer builds 0-to-1 AI products for strategic enterprise customers, partnering with C-suite and R&D. Requires 4+ years experience, production AI shipping, full-stack skills, and business acumen; hybrid NYC with 25-50% travel.
Senior/Staff Software Engineer architects ML data pipelines for autonomy AI at Nuro, transforming massive datasets into training signals. Requires 7+ years experience, C++/Python proficiency, and expertise in end-to-end ML data systems.